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GCP Professional Data Engineer Practice Question

Your company stores customer_orders in BigQuery and feeds several Looker Studio dashboards. Internal analysts need unrestricted access, but a third-party call-center vendor should:

  • see only the rows where region_code equals their assigned region,
  • see a masked version of the credit_card_number column, and
  • have no direct IAM access to the underlying table or its storage objects. Which approach meets the security requirements with the least ongoing maintenance effort?

  • Grant the vendor the BigQuery Data Viewer role on the dataset, attach a dynamic masking policy to credit_card_number, and add a row-level security policy on region_code.

  • Build a materialized view that filters by region_code and hashes credit_card_number, rely on automatic refresh, and grant the vendor access only to this materialized view.

  • Tag credit_card_number with a masking policy using column-level security, define a row-level access policy on region_code, and publish the dataset as a listing in Analytics Hub for the vendor to subscribe to.

  • Create an authorized view that filters on region_code and masks credit_card_number, then share only the view with the vendor.

GCP Professional Data Engineer
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